Forward Deployed Engineer, Generative AI

About PMGlide
PMGlide builds AI-powered project management automation that helps organizations steer projects to success with less manual effort and greater reliability. Our platform automates the entire project lifecycle, enabling seamless delivery from planning through execution and reporting. By leveraging generative AI to streamline workflows and remove operational friction, we make advanced AI capabilities practical, accessible, and highly impactful for real-world project environments. Customers also benefit from direct access to our experts, ensuring AI solutions are uniquely tailored to accelerate their specific business goals.
The Role
As a Forward Deployed Engineer for Generative AI, you are the technical bridge between PMGlide’s core AI platform and our customers' operational realities. In this highly collaborative, remote role, you will work directly with client stakeholders to understand their unique workflows and translate complex business requirements into scalable technical designs. You will be hands-on in building the back-end services, APIs, and data pipelines that connect enterprise project management tools to PMGlide’s generative AI models.
What You’ll Do
Customer Integration: Lead technical discovery sessions, collaborate directly with client stakeholders to gather requirements, and translate business needs into robust AI-driven solutions.
System Architecture & Development: Architect, build, and maintain production-ready back-end services, APIs, and microservices connecting client environments to PMGlide’s models.
AI Operationalization: Build scalable pipelines for structured and unstructured data, utilizing vector databases and RAG-like architectures to power enterprise AI solutions.
End-to-End Ownership: Take production-grade AI solutions from conception through programming, debugging, performance optimization, and launch, ensuring the highest standards of reliability and security.
Continuous Improvement: Gather user feedback, document solutions, support pilot onboarding, and work closely with internal product and AI teams to continuously refine the core platform.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
5+ years of software development experience, with high proficiency in Python or similar coding languages.
Strong foundation in Computer Science fundamentals (data structures, algorithms, object-oriented programming) and back-end web development.
Proven experience building enterprise data pipelines using vector databases and RAG architectures.
Hands-on experience architecting and deploying AI/ML systems on major cloud platforms (e.g., GCP, AWS, Azure), utilizing containerization and CI/CD practices.
Exceptional written and verbal communication skills, with a proven ability to work effectively in a remote team and confidently interface directly with enterprise customers.
Preferred Qualifications
Master’s degree or PhD in Artificial Intelligence, Computer Science, or a related technical field.
Experience implementing multi-agent systems using modern frameworks (e.g., LangGraph, CrewAI, AutoGen) and complex reasoning patterns (e.g., ReAct, self-reflection, hierarchical delegation).
Deep knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management, granular tracing, and model performance.
Track record of successfully steering enterprise clients through technical discovery and early-stage product pilots.

Skills
Generative AI

Experience
5+ yrs

Work arrangement
Hybrid